Finding

ibl-2025-prior-map.multi-session-psychometric.p_left-0.5

The International Brain Laboratory et al. Brain-wide representations of prior information in mouse decision-making. Nature 645:192-200, 2025. · IBL visual decision task · psychometric

Observed curve and fits

Fit diagnostics

Variant AIC Δ AIC RMSE Caveats
logistic-4param winner 741.7 0.0 0.0447 —
sdt-2afc 802.8 61.1 0.0856 —
Full diagnostics (logL · n · params · max abs error)
Variant logL n Free params Max |error| Predicted points
logistic-4param -366.8 899 4 0.1088 9
sdt-2afc -399.4 899 2 0.1306 9

Residuals

Fit parameters and provenance

logistic-4param.ibl-2025-prior-map.multi-session-psychometric.p_left-0.5

dirty fit

bias=-2.532 · lower_lapse=0.045 · slope=9.055 · upper_lapse=0.000

Method
scipy.optimize.minimize
Commit
8365eb3
Predicted points
9
BIC
760.9

Fitted with scipy.optimize.minimize via behavtaskatlas.model_fits.logistic-4param; success=True; CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*EPSMCH

sdt-2afc.ibl-2025-prior-map.multi-session-psychometric.p_left-0.5

dirty fit

criterion=-0.240 · d_prime=0.037

Method
scipy.optimize.minimize
Commit
8365eb3
Predicted points
9
BIC
812.4

Fitted with scipy.optimize.minimize via behavtaskatlas.model_fits.sdt-2afc; success=True; CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*EPSMCH

Observed points

Signed contrast p_right n
-100.000 0.0400 100
-25.000 0.1200 100
-12.500 0.3434 99
-6.250 0.4400 100
0.000 0.4800 100
6.250 0.7200 100
12.500 0.8900 100
25.000 0.9700 100
100.000 1.0000 100

Take it with you

Cover sheet

Self-contained Markdown for citation, slides, or notebooks

The cover sheet pins the finding to the atlas commit and includes the observed points, fit ranking, caveats, and provenance — everything needed to drop into a paper or notebook without losing the trail back to the deploy.